Down Jacket Dressing Simulation Image Dataset

#image generation #style transformation #virtual fitting #online shopping #personalized recommendation
  • 20000 records
  • 3.2G
  • JPG/PNG/JSON
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-03-11

AI Analysis & Value Prop

The current retail e-commerce industry faces challenges such as difficulty in online purchasing decisions and lack of fitting experiences. Traditional product display methods cannot effectively meet consumers' needs for personalization and interactivity. Existing virtual fitting solutions often rely on real images, lacking diversity and flexibility, unable to adapt to rapidly changing market demands. This dataset aims to provide a rich and diverse visual experience through synthesized down jacket dressing simulation images, helping e-commerce platforms improve user purchase conversion rates. The data collection for this dataset adopts advanced image generation technology, synthesizing various styles and colors of down jacket images through deep learning models, processed using efficient GPUs. In terms of quality control, the data undergoes multiple rounds of labeling and consistency checks, and is reviewed by industry experts to ensure data accuracy and reliability. The data storage format is PNG and JPG, organized by category and style for easy user retrieval and usage.

Dataset Insights

Sample Examples

2582f439**.jpg|1280*1706|289.87 KB

d0f6b3f6**.jpg|1280*1706|387.50 KB

e651e918**.jpg|1280*1706|435.30 KB

bce09203**.jpg|1280*1601|336.43 KB

0f8105d7**.jpg|1280*1112|166.56 KB

Technical Specifications

Compliance Statement

Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

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Cite this Work

@dataset{Mobiusiundefined,
  title={},
  author={Mobiusi},
  year={undefined},
  url={https://www.mobiusi.com/datasets/5b64816be3db044fe71e1359736a27ed},
  urldate={},
  keywords={},
  version={}
}

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